About the role
Experience: 5.5 - 9 Years
Locations: Bangalore, Chennai, Kolkata, Pune and Gurgaon
Work Mode: Hybrid
Mandatory Skills: Python, Pyspark, SQL, ETL, No SQL, GCP, BigQuery, Pub/Sub, Cloud Storage, Dataproc and Dataflow.
Job Requirement:
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Have Implemented and Architected solutions on Google Cloud Platform using the components of GCP
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Experience with Apache Beam/Google Dataflow/Apache Spark in creating end to end data pipelines.
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Experience in some of the following: Big Query, Big Table Cloud Storage, Datastore, Spanner, Cloud SQL, Machine Learning.
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Experience programming in Hadoop, PySpark/Python, SQL.
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Expertise in at least two of these technologies: Relational Databases, Analytical Databases, NoSQL databases.
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Being certified in Google Professional Data Engineer/Solution Architect is a major advantage.
Skills Required:
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Bachelor's or Master's degree in Computer Science, Engineering or a related field.
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Design, develop, and deploy scalable ETL/ELT pipelines using PySpark on GCP.
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Utilize GCP services extensively, including BigQuery (data warehousing), Cloud Storage, Dataproc and Dataflow.
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Optimize PySpark jobs for performance and reliability, and fine-tune BigQuery queries.
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Implement complex transformations and process large volumes of structured/unstructured data using Spark SQL and PySpark.
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Build and manage automated workflows using Apache Airflow or Cloud Composer.
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Strong proficiency in Python and SQL is essential.
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Extensive hands-on experience with PySpark.
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Proven experience with Google Cloud Platform (GCP) services.